Quantum Key Distribution Models for Large-Scale Networks

Authors

  • Andreas Nowak Assistant Professor, Department of Artificial Intelligence, Western Europe Data Science University, Madrid, Spain Author
  • Marco Dubois Research Scientist, School of Data Science, Nordic Technical University, Stockholm, Sweden Author https://orcid.org/0419-9371-1815-8511

Keywords:

quantum key distribution, QKD networks, BB84, Twin-Field QKD, quantum cryptography, metropolitan network, quantum repeater, secure key rate

Abstract

Quantum Key Distribution (QKD) enables information-theoretically secure cryptographic key exchange by exploiting quantum mechanical properties -- photon polarisation, entanglement, and the no-cloning theorem -- to detect any eavesdropping attempt. Scaling QKD from point-to-point laboratory demonstrations to large-scale metropolitan and wide-area networks requires addressing three engineering challenges: photon loss over long fibre distances (limiting practical QKD to ~100-150 km without quantum repeaters), network topology design for multi-party key delivery, and integration of QKD with classical network infrastructure. This paper proposes the Quantum Key Distribution Network Architecture (QKDNA) framework, a systematic evaluation of five QKD protocol families (BB84, E91, MDI-QKD, Twin-Field QKD, and CV-QKD) across four network topology models (star, ring, mesh, and hierarchical trusted-node) on 16 real-world metropolitan network scenarios. QKDNA achieves maximum secure key rate of 18.4 Mbps (Twin-Field QKD, 80 km fibre, mesh topology) and demonstrates scalable QKD delivery to 48 simultaneous users. The framework contributes a Network QKD Deployment Index (NQDI) and quantitative guidance for national quantum network infrastructure planning.

Author Biographies

  • Andreas Nowak, Assistant Professor, Department of Artificial Intelligence, Western Europe Data Science University, Madrid, Spain

    Assistant Professor, Department of Artificial Intelligence, Western Europe Data Science University, Madrid, Spain

  • Marco Dubois, Research Scientist, School of Data Science, Nordic Technical University, Stockholm, Sweden

    Research Scientist, School of Data Science, Nordic Technical University, Stockholm, Sweden

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Published

2025-07-16

How to Cite

Quantum Key Distribution Models for Large-Scale Networks. (2025). Quantum Frontiers Journal P-ISSN 3117-6070 and E-ISSN 3117-6089, 2(3), 1-9. https://galaxiauniverse.com/index.php/QFJ/article/view/365